Data analyst jobs in Baldwin, PA

Are you a data enthusiast with a desire to expand your understanding and experience with data analysis, visualization and data cleansing? As a Junior Data Science Analyst , you will have an opportunity to apply and develop your skills in analyzing large, complex, multi-dimensional datasets with a variety of tools and statistical environments, creating and implementing machine learning algorithms and advanced statistics and using statistical computing languages for data analysis -- such as R and Python. If you are ready to take your career to the next level, there has never been a better time to join ServiceLink! *Note- The Junior Data Science Analyst is a temporary role with an anticipated length of 3 months, intended to be an introductory/developmental role. A DAY IN THE LIFE In this role, you will… · Conduct research leveraging big data technologies that surface actionable insight that influence analytical solutions roadmap · Gather and process raw data at scale by using statistical packages like R, and programming language like Python · Process unstructured data into a form suitable for analysis - and then do the analysis. · Work with images, text documents and tabular data WHO YOU ARE You possess … · Recently graduated or currently pursuing Undergraduate / Master's degree in Computer Science or related field or equivalent work experience · Effective in fast paced environment · Collaborative/enjoys working in teams · Self-starter/motivator · Some experience in software or applications engineering and/or technical operations Responsibilities Critical thinking skills to assess how AI capabilities can best be applied to complex business situations. Work closely with engineering team to integrate your ideas, innovations and algorithms into production systems. Support business decisions with ad hoc analysis as needed. Having the ability to query databases with structured and un-structured data and perform statistical analysis Being able to work in a fast-paced multidisciplinary environment as in a competitive landscape new data keeps flowing in rapidly and the world is constantly changing; Applying quantitative analysis and data mining expertise in presenting data to visualize beyond the numbers and the underlying trends and use that analysis in process automation Ability to perform in the following areas: o Analysis and Presentation o Exploratory Data Analysis o Predictive Data Analysis o Streaming Analytics Experience in creating and implementing machine learning algorithms and advanced statistics such as: regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks Proficiency with statistical computing languages for data analysis, such as R and Python preferred. You ask why, you explore, you're not afraid to blurt out your disruptive idea. You are constantly exploring new open source tools. Work on building deep learning models in production for predicting or classification. Analytical skills, with an emphasis on quantitative analysis, descriptive and inferential statistics a plus Qualifications Recently graduated or currently pursuing Undergraduate / Master's degree in Computer Science or related field or equivalent work experience Certification preferred but not required Some experience in software or applications engineering and/or technical operations Work and/or academic experience building applications using any of the following: o Large scale distributed databases as well as more traditional options: key-value, graph, SQL, NoSQL, time series o Machine Learning like R, Python o Deep knowledge on large scale object stores (e.g. HDFS) and the ecosystem of tools used for machine learning applications (e.g. spark etc.). In particular, we're looking for the flexibility to make decisions that best optimize for our applications and don't follow the crowd to a default answer. o Exposure to cloud environments preferable Azure o Experience handling data with relational databases is preferred o Knowledge of machine learning/distributed systems o SQL server or Oracle Effective in fast paced environment Collaborative/enjoys working in teams Self-starter/motivator Creative and effective problem solving skills Ability to work on/manage multiple tasks concurrently. We can recommend jobs specifically for you! Click here to get started.

kWantera is a venture-backed startup company dedicated to helping companies manage their energy. Our team of quantitative energy market analysts work with our big data analytics platform to analyze and react to changing market conditions. At kWantera, we promote a highly dedicated, collaborative and creative work environment where our employees take ownership of their role, taking much pride in their work. We aim to continue innovating in the future, giving businesses the upper hand on their energy decisions. Job Description We are seeking for a candidate who is passionate about making a difference in energy industry using data analytics. Energy Data Analyst will act as a bridge between our data science team and the energy market. He/she will use data analysis techniques to find answers to research questions raised by data science team, will evaluate the challenges and opportunities in the market, backing the findings with solid statistics, and will evaluate and analyze our products' performance, providing insightful feedback for improvements, just to count a few of the responsibilities. The ideal candidate is experienced and comfortable with analyzing big data and crunching numbers, is familiar with the electricity wholesale markets in the US, and has programming background, preferably in Python. We are seeking independent and critical thinkers, who are good team players. Qualifications Strong background in data analytics. Must be familiar with basic statistical techniques and metrics, such as implementing and evaluating regression analysis, hypothesis testing, auto-correlation, probability distributions, graphical representations, as well as confusion matrices to evaluate accuracy, precision and error, etc. (Machine Learning background is a plus). Strong understanding of energy markets in US (Previous work experience in the energy domain, or extensive coursework and projects in the area) Familiarity with using Python for data analysis (or equivalent language). A strong sense of ownership A team player Strong verbal and written communication skills Additional Information COMPENSATION Very competitive salary, because you deserve it. Equity in the company, to keep you motivated. 401(k) plan with matching, because we care about your future! PERKS: Unlimited vacation, we work hard and take time when we need it. Medical, dental and vision coverage. Fully stocked fridge, coffee, espresso and tons of snacks to keep us going. Fantastic modern office space in Pittsburgh's Strip District with free parking. Great office environment with exceptionally talented coworkers. kWantera's staff is highly motivated to shake up the status quo of the modern electric and natural gas industries within the United States. Our technology platform, machine learning, and predictive analytics are cutting-edge entrants into the emerging world of Big Data. We seek people who will be similarly passionate about changing the world.

We are looking for a Data Coordinator & Analyst to work in our research project supported by the National Institute of Health: 1) The Longitudinal Study of Late-Life Suicide seeks to understand the dynamic interplay of biological and psychological factors of aging that either protect against or exacerbates the risk of suicide in late-life. We conduct a longitudinal study that assesses suicidal ideation trajectories, changes in cognitive performance and uses decision process paradigm and event momentary assessment measuring real-time affect changes and sleep to understand how cognitive abilities, decision making, emotional changes and circadian rhythm contribute to suicide risk. Please visit our website gsuicide.pitt.edu for more information. The purpose of the Data Coordinator & Analyst would be to monitor data collected locally for NIH-funded research, which are uploaded to a central database. Monitoring would involve checking for completeness and quality of the data from standards set by the Principal Investigator. Managing clinical, neuropsychological, actigraphy and ecological momentary assessment (EMA) data is the most important facet of this position. The Data Analyst would also be involved in statistical analysis of various types of data (clinical, cognitive, EMA and actigraphy data), with training provided and guided by the Principal Investigators and research team, including statistician co-PI (Dr. Hanga Galfalvy, University of Columbia). Finally, the Data Analyst would support the dissemination of results through the preparation of figures or presentations, as well as assisting with the preparation of scientific articles for publication. We offer a collaborative environment with the opportunity to engage in independent research projects. We welcome individuals with a background/history of data management in a health-related field or equivalent work experience This is an excellent opportunity for someone looking to apply for further graduate studies, such as a doctoral program in psychology, neuroscience, or medical, or seeking a career in database management or data science. If interested and highly motivated, there are opportunities for data analysis and publication. The ideal candidate will have strong quantitative skills, programming experience, some research experience and an interest in geriatric mental health and/or suicide research. The following skills are strongly preferred: knowledge of R, SQL, Python or similar. Our data coordinator will oversee data management, data quality check, and data training. They will also assist in annual report submission to funding agencies and collaborate with other investigators in the Department. Lastly, there are opportunities to obtain a clinical skillset and administer psychological assessments based on their interests. This position is grant funded. Responsibilities: * Perform duties for approved research projects according to defined protocols and procedures including appropriate collection, recording, and storage of data. * Assist in hypothesis generation, data analysis and data presentation, and publication. * Conduct various data report generations using R language. * Conduct data missingness and quality checks regularly. * Maintain the data training manual. * Fulfill data requests from collaborators for project initiation. * Maintain lab websites using HTML and Javascript. * Create, maintain, reconcile and backup our REDCap database. * Assist in the generation of annual data/study reporting to funding agencies. * Assist with procedures for obtaining patient data. * Bachelor's degree in Statistics, Psychology, Math, Information Systems, related field or equivalent work experience. Masters degree strongly preferred. * Prior experience in mood disorder and suicide risk assessment is an asset for this position. * Preferred minimum commitment period of two years. * Computer knowledge required (Microsoft Office Products). * Experience with R, SQL, or Python strongly preferred. * Knowledge of HTML, GitHub, and other programming tools preferred. * Knowledge and experience with REDCap strongly preferred. * Ability to accurately collect and store research data. * Ability to interact with patients/study participants and research and medical staff. Thus, living or relocating to Pittsburgh is required, despite certain days of the week remote work is allowed. Licensure, Certifications, and Clearances: * Act 34 UPMC is an Equal Opportunity Employer/Disability/Veteran

The Data Analyst and AI Specialist will help advance Carnegie Mellon's efforts to leverage data for strategic decision-making across academic and administrative functions. This role requires expertise in database systems, statistical analysis, and data visualization tools to transform complex datasets into actionable insights that drive student success, operational efficiency, and institutional effectiveness. This position will combine data cleaning and preparation skills with data visualization and communication skills. This position collaborates with business leaders across divisions including but not limited to the provost division, academic colleges, enrollment management, student success, finance and budget, student affairs, human resources, and computing services. They will collaborate through the Data Analytics Community of Practice and help implement the CMU Data Strategy by ensuring data integrity, privacy compliance, and ethical use of university information. A successful candidate in this role will combine technical proficiency with strong communication skills to translate analytical findings into compelling narratives that inform institutional planning and demonstrate the impact of university initiatives to a wide range of stakeholders. Core responsibilities include: Dashboard Development and Reporting Design and implement data visualization dashboards that translate complex institutional data into actionable insights for university stakeholders at various levels. Assist in implementing the university's data strategy and development of data franchises across the university business units. Develop new dashboards and reports to support university planning and operations using PowerBI Assist in managing permissions and data access to published PowerBI and Tableau reports. Convert existing Tableau dashboards and reports to PowerBI. Data Preparation and Advanced Analysis Partner with key stakeholders and data franchises within the university to facilitate development of data insights to support decision making. Contributes to developing existing and new AI solutions in data preparation and automation pipelines. Configures and orchestrates RAG implementations to create AI Chatbots and other tools for non-technical users. Utilizes AI models to extract structured data from unstructured text sources Contributes to chatbot development and agentic AI workflows to enable AI to answer questions from internal and external data sources. Performs complex statistical analyses of financial, organizational, developmental and/or planning data. Verifies the correctness of the data reported. Makes recommendations based on these analyses. Complete complex data analysis to measure effectiveness of key areas and reports results to university leadership. Database Management and Permission Management Assists with writing SQL queries that translate raw and unfiltered data by creating semantic layer and reporting views in the database to be used for reporting. Collaborates to combine data from multiple sources and documents processes and data definitions. Creates consistent and reproducible workflows that automate reporting requirements. Collaboration and Facilitation with Business Partners and Collaborators Collaborates with data partners in developing data analytics and AI solutions to support the University's academic mission and operational objectives. Communicates complex and sometimes conflicting information clearly to both technical and non-technical audiences. Identifies data challenges and/or roadblocks to project success and recommend solutions to overcome barriers to project completion. Collaborates with other divisions and departments to create verified and reusable data products and data sources. Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work. You should demonstrate: An ability to work with sensitive information, maintain confidentiality and use discretion. Strong oral and written communication skills. Ability to collaborate and work well as part of a team. Qualifications: Bachelor's degree required, Master's degree preferred. 0-2 years of related work experience. Experience with data analysis and generating reports using business intelligence tools required. Experience using inferential statistics techniques (such as regression, chi-square, and ANOVA) required. Experience using any statistical programming language (such as Python, R, SAS, STATA, MATLAB, etc.) required. Experience using SQL programing language required. A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered. Requirements: Successful pre-employment background check Additional Information: Sponsorship: Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over the sponsorship of an employment visa for this opportunity. Carnegie Mellon is not a qualifying employer for the STEM OPT benefit: only the 12-month OPT may be used to work at Carnegie Mellon. Joining the CMU team opens the door to an array of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more! For a comprehensive overview of the benefits available, explore our Benefits page. At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations. Are you interested in an exciting opportunity with an exceptional organization?! Apply today! Location Pittsburgh, PA Job Function Data Analysis Position Type Staff - Regular Full Time/Part time Full time Pay Basis Salary More Information: Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world. Click here to view a listing of employee benefits Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance

Job Description FUNCTIONAL DEFINITION This Data Analyst position is assigned to the Allegheny County Department of Human Services (DHS), Office of Intellectual Disability (ODS). The Data Analyst will be responsible for ODS data collection, maintenance, and reporting. This individual will design data reports and databases to meet internal management needs and to represent the status of ODS administration of services and supports to external partners and stakeholders. DUTIES AND RESPONSIBILITIES A. Reporting and integrating data from multiple systems and sources, including but not limited to program eligibility and consumer demographics, support plans, assessments, service authorizations and utilization, incident management, and waiver capacity management. B. Maintenance of internal ACCESS databases from HCSIS Extract source. C. Development of new databases to support and enhance business functions. D. Tracking and problem-resolution of data integrity issues identified internally and as required by the State Office of Developmental Programs (ODP) E. Providing relevant, specific, and current data to ODS teams to facilitate administration of services F. Maintaining and reporting data relevant to performance indicators. G. Maintaining and reporting data relevant to the ODS Quality Management Plan. H. Maintaining and reporting data relevant to the State ODP monitoring of the Administrative Entity (QA&I) I. Maintaining and reporting data relevant to ODS oversight of Supports Coordination and Provider functions. J. Technical assistance to ODS staff in collection and maintenance of data K. Data analysis to support system change and quality improvement, including special projects to support ODS collaboration with other PA Counties and with the State ODP. SKILLS AND KNOWLEDGE A. Ability to work in a team-oriented atmosphere. B. Ability to be attentive to detail. C. Strong organizational skills demonstrated. D. Strong problem-solving skills E. Excellent written and verbal communication across all levels F. Working knowledge of Microsoft Office products including Access, Word, Excel, and PowerPoint. Working knowledge of internet research methods. G. Ability to work at a high level of independence with minimal supervision. H. Ability to interact with individuals on all organizational levels. I. Ability to collaborate with people from a variety of diverse agencies, backgrounds, resources, and communities. J. Ability to compile reports based on individualized and aggregate data. K. Ability to adapt to and learn new software products. ESSENTIAL REQUIREMENTS A. Possess Acts 33, 34 and FBI clearances. B. Have a valid Pennsylvania motor vehicle license, access to a personal vehicle, and have maximum auto insurance on an employee driven vehicle. C. Strong data management and analysis skills D. Expertise in ACCESS and Excel E. Ability to work independently. F. Full-time position requiring 40 hours per week. EDUCATION AND EXPERIENCE Bachelor's degree in math, statistics, computer science, or related subject and one year of experience in data collection, reporting and analysis or three years of experience in data collection, reporting and analysis. Preferred experience in project management and performance measurement. Powered by JazzHR ObkPOWVNHi

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. On the Aurora Data Solutions team, you will join a world-class group whose mission is generating insights and intelligence to improve the Aurora Driver and help accelerate our path towards safe and broad commercialization of Autonomous Vehicle technology. This Data Analyst role is a key opportunity to leverage vast amounts of data from both internal and external sources to monitor and analyze the performance of the Aurora Driver, directly supporting Aurora in achieving its developmental and commercialization goals. The ideal candidate will thrive working cross-functionally. You will be responsible for delivering impactful analysis that generates crucial insights and intelligence for key leadership and executive stakeholders, enabling data-driven decision-making to transform transportation. If your passions align with working on cutting-edge Data Analytics projects to drive significant business impact, joining Aurora Data Solutions is the perfect opportunity for you. In this role, you will Develop and present executive-level reports and dashboards with clear, actionable insights that drive strategic decision-making. Develop and manage external-facing data reports for customers, partners, and regulatory bodies, ensuring accuracy and compliance. Communicate data and insights in visually impactful and compelling ways to effectively communicate analysis, trends, risks and opportunities. Partner closely with those stakeholders to design and implement metrics and dashboards to help them measure, understand, and improve their teams and performance needs Be a key driver in translating data findings into business recommendations and measurable outcomes across the organization. Collaborate with a team of world-class Data Scientists, Analysts, and Engineers on Data Science & Analytics problems spanning our Developmental and Commercial areas. Collaborate with our Data Science & Analytics and Engineering communities to ensure the adoption of best practices and suggest improvements Required Qualifications 2-4 years of experience as a Data Analyst, Data Scientist, or similar technical role. Proven experience taking Data Analytics projects end-to-end, from synthesizing business needs to building and maintaining data pipelines. Advanced proficiency with relational databases (SQL, PostgreSQL, etc.) and knowledge of Data Engineering best practices. Intermediate knowledge of data analytics infrastructure, including experience with data transformation tools like DBT and various visualization frameworks/tools. Competency in Python, demonstrated by the ability to write readable, maintainable, and easily interpretable code. Demonstrated ability to work effectively and collaboratively in a highly cross-functional, fast-moving, and high-stakes environment. Excellent communication skills with a proven ability to translate and cascade executive input into actionable, data-driven technical analysis for both technical and non-technical stakeholders. Desirable Qualifications Advanced degree (MS) in Statistics, Computer Science, Systems Engineering, or a related quantitative field Experience using Amazon Web Services (AWS) tools Experience using data-modeling business intelligence tools such as Holistics, Looker, etc. Experience presenting your work to Executive teams & interfacing with Product teams Experience in the Autonomous Vehicles or other safety-critical systems industries The base salary range for this position is $126K-$181K per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. #LI-SP1 #Associate

Primary Office Location:626 Washington Place. Pittsburgh, Pennsylvania. 15219.Join our team. Make a difference - for us and for your future. Business Analytics Analyst 1 - Data Science Business Unit: Strategy and Innovation Reports to: Manager of Business Analytics - Data Science Position Overview: This position involves understanding business questions and data lineage to select applicable data sources and methods for reports and analytics. Working closely with FNB Operations Analytics team, the candidate will develop data-driven insights using SQL/DAX and Power BI visualizations and complete analytics tasks that improve efficiency, communicate metrics, and enable senior management to understand the health of the organization. Primary Responsibilities: Performs analytics and reporting, relying heavily on SQL/DAX to source data and PowerBI to complete analytics tasks. Also uses additional tools and methodologies incorporating the latest technologies and modern techniques to measure and increase awareness of organizational performance and highlight business opportunities. Focuses on building skills in Python coding for EDA, Power Automate, Microsoft Excel, Power BI, and newer technologies to deliver solutions. Supports and assists members of the Business Analytics team in completion of analytics projects. Provides technical, business intelligence, and analytical guidance to other members of the FNB analytics community in support of their business objectives. Demonstrates a proactive approach to data accuracy by creating an environment in which inconsistencies can be easily highlighted and corrected by the appropriate team. Creates a technical environment in which data and solutions are documented properly. Performs other related duties and projects as assigned. All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation's risk management program. F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions. Minimum Level of Education Required to Perform the Primary Responsibilities of this Position: BA or BS Minimum # of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position: 1 Skills Required to Perform the Primary Responsibilities of this Position: MS Excel - Basic Level MS PowerPoint - Basic Level Excellent communication skills, both written and verbal Ability to work and multi-task in a fast paced environment Excellent project management skills Experience with SQL programming languages in a professional setting is required Experience with Microsoft PowerBI or similar is required Familiarity with a financial organization is highly preferred Licensures/Certifications Required to Perform the Primary Responsibilities of this Position: N/A Physical Requirements or Work Conditions Beyond Traditional Office Work: N/A Equal Employment Opportunity (EEO): It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.

Primary Office Location: 626 Washington Place. Pittsburgh, Pennsylvania. 15219. Join our team. Make a difference - for us and for your future. Business Analytics Analyst 1 - Data Science Business Unit: Strategy and Innovation Reports to: Manager of Business Analytics - Data Science Position Overview: This position involves understanding business questions and data lineage to select applicable data sources and methods for reports and analytics. Working closely with FNB Operations Analytics team, the candidate will develop data-driven insights using SQL/DAX and Power BI visualizations and complete analytics tasks that improve efficiency, communicate metrics, and enable senior management to understand the health of the organization. Primary Responsibilities: Performs analytics and reporting, relying heavily on SQL/DAX to source data and PowerBI to complete analytics tasks. Also uses additional tools and methodologies incorporating the latest technologies and modern techniques to measure and increase awareness of organizational performance and highlight business opportunities. Focuses on building skills in Python coding for EDA, Power Automate, Microsoft Excel, Power BI, and newer technologies to deliver solutions. Supports and assists members of the Business Analytics team in completion of analytics projects. Provides technical, business intelligence, and analytical guidance to other members of the FNB analytics community in support of their business objectives. Demonstrates a proactive approach to data accuracy by creating an environment in which inconsistencies can be easily highlighted and corrected by the appropriate team. Creates a technical environment in which data and solutions are documented properly. Performs other related duties and projects as assigned. All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation's risk management program. F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions. Minimum Level of Education Required to Perform the Primary Responsibilities of this Position: BA or BS Minimum # of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position: 1 Skills Required to Perform the Primary Responsibilities of this Position: MS Excel - Basic Level MS PowerPoint - Basic Level Excellent communication skills, both written and verbal Ability to work and multi-task in a fast paced environment Excellent project management skills Experience with SQL programming languages in a professional setting is required Experience with Microsoft PowerBI or similar is required Familiarity with a financial organization is highly preferred Licensures/Certifications Required to Perform the Primary Responsibilities of this Position: N/A Physical Requirements or Work Conditions Beyond Traditional Office Work: N/A Equal Employment Opportunity (EEO): It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.

Hydro Global Business Services (GBS) is an organizational area that operates as an internal service provider for the Hydro group. Its ultimate purpose is to deliver relevant IT, financial and HR business services to all business areas within the company. Job Location: Remote. Hydro employees can enjoy several benefits including: Medical, Rx, Dental, Disability, Life Insurance, Flexible Spending Accounts Retirement Savings Plans with Company Match/Contributions Education Assistance Bonus Plan Eligibility Parental Leave Pay Range: $111,132 to $153,484 Job Summary: The Data Migration Manager will lead the design, development, and execution of our SAP and MES Data Migration Strategy. This role plays a critical part in our ERP transformation and requires deep expertise in SAP systems, data architecture, ad cross functional business processes. This position reports to the Manager S4 Solution and Delivery NA. Required Education/Experience: Bachelor's degree in information technology, Business, or a related field; or an equivalent combination of education and 10 years of relevant work experience. Minimum of 5 years managing data migration and integration phases of ERP projects. Full lifecycle SAP implementation experience in a manufacturing environment, with strong understanding in manufacturing, supply chain, shop floor, commercial, and financial operations. Broad knowledge of SAP architecture and business functions, including master and transactional data objects across SAP modules (SD, MM, WM, PP, QM, FI and CO). Hands-on technical experience with BODS, S/4HANA Migration Cockpit, LSMW, and Winshuttle. Preferred Skills/Qualifications: Experience managing remote or dotted-line teams across multiple countries. Strong leadership skills with the ability to drive accountability and deliverables. SAP implementation experience in a multinational environment. Fluent in English; proficiency in additional languages is a plus. Proven ability to manage stakeholder expectations and deliver agreed-upon outcomes. Job Responsibilities: Design, develop, and execute the SAP and MES data migration strategy. Collaborate with SAP and MES functional teams to document the data entity model. Define scope and strategy for data migration objects for each rollout, aligned with the global template. Lead and manage a team of Data Migration Experts. Coordinate and oversee execution of test scripts for data migration validation. Develop functional and technical specifications for ETL processes (Extract, Translate, Load). Implement robust data validation and reconciliation controls. Ensure compliance with Hydro's Quality system, HSE regulations, polices and standardized operating procedures. 50% travel required. Hydro values diverse skills and perspectives among employees. We encourage all qualified candidates to apply. Qualified applicants will be considered regardless of race, religion, nationality, ethnicity, age, gender, sexual orientation, gender identity or expression, protected veteran status, or disability. We strive to provide equal opportunities for all to contribute and succeed with us. Applications from severely disabled and equally disabled people will be considered with equal suitability. Please apply online in ONE with your CV and optionally a cover letter until: If you have any questions, please contact: Elaine Shoup ********************** (United States +1) ************

As part of the Wilshire family, you can rest assured that every day you are contributing to an organization that is helping investors improve their financial outcomes. For more than 50 years, Wilshire has been dedicated to providing customized portfolio solutions grounded in research and powered by next generation technologies. Wilshire advises on over $1 trillion in assets for some of the world's largest and most sophisticated institutional investors and is headquartered in the United States with offices worldwide. Job Description Wilshire seeks an Analytics Data Associate to help maintain and support analytics systems. The role involves Uploading data, generating and reviewing reports, and supporting client inquiries. This position requires some knowledge of investment, financial, economic and industry topics. We are looking for self-motivated candidates with strong academic backgrounds and professional drive. What you'll do: * Upload data into analytics systems and verify the output for accuracy and consistency * Generate reports and validate results to ensure accuracy * Support client inquiries and provide analytical explanations * Maintain risk dashboards to monitor risk exposure * Investigate and analyze data errors, identifying causes and implementing corrective actions to prevent recurrence * Support all areas of risk management * Communicate results internally and externally Qualifications * 3-5 years capital markets experience; or a quantitative master's degree + 1-2 years' experience * Proficiency in risk management tools and data analytics platforms * Experience with Microsoft Excel and VBA * Familiarity with SQL, Python or other programming languages is a plus * Experience in finance and knowledge of investments * Demonstrated ability to identify, analyze and recommend potential solutions to problems * Takes initiative and is highly motivated * Works effectively and productively in a team * Able to multi-task and prioritize in a fast-paced environment * Strong communication skills * Bachelor's degree in finance, economics, business, or related field * Demonstrated flexibility and willingness to work additional hours during critical periods or special situations to ensure timely and accurate completion of key deliverables Additional Information * This position will work on a hybrid model out of our New York or Pittsburgh office * We offer a comprehensive benefits package including a collaborative work environment, generous PTO, 401(k) match, affordable & comprehensive medical/dental/vision insurance, CFA and other professional membership reimbursement, and more. The pay range for this position is $60,000-$90,000. However, base pay will be determined on an individual basis considering various factors, including location, qualifications, skills, and experience. The total compensation package includes eligibility for an annual discretionary bonus and a full range of health and financial benefit offerings, which will be provided in conjunction with an offer of employment. Visit **************** for additional company information. Wilshire is an SEC registered investment adviser and required to track certain political contributions under Rule 206(4)-5. As such, you may be required to disclose your prior political contributions. We are an equal opportunity employer, which means we afford equal employment opportunity to all individuals regardless of race/ethnicity, creed, color, religion, sex (including gender and gender identity), national origin, ancestry, age, marital status, veteran status, citizenship status, disability, medical condition (as defined by California Government Code section 12926), or sexual orientation. Our employees, as well as applicants and others with whom we do business, will not be subjected to sexual, racial, religious, ethnic, or any other form of unlawful harassment. In addition, Wilshire adheres to the equal employment opportunity requirements of all states and localities in which it does business. We are completely committed to these principles not only because of the various laws which address these subjects, but because it is the right thing to do for our employees and clients to thrive. If you have a disability, and require reasonable accommodations in the application process, contact Human Resources at ApplicantAccessibility@wilshire.com or ************.

As part of the Wilshire family, you can rest assured that every day you are contributing to an organization that is helping investors improve their financial outcomes. For more than 50 years, Wilshire has been dedicated to providing customized portfolio solutions grounded in research and powered by next generation technologies. Wilshire advises on over $1 trillion in assets for some of the world's largest and most sophisticated institutional investors and is headquartered in the United States with offices worldwide. Job Description Wilshire seeks an Analytics Data Associate to help maintain and support analytics systems. The role involves Uploading data, generating and reviewing reports, and supporting client inquiries. This position requires some knowledge of investment, financial, economic and industry topics. We are looking for self-motivated candidates with strong academic backgrounds and professional drive. What you'll do: Upload data into analytics systems and verify the output for accuracy and consistency Generate reports and validate results to ensure accuracy Support client inquiries and provide analytical explanations Maintain risk dashboards to monitor risk exposure Investigate and analyze data errors, identifying causes and implementing corrective actions to prevent recurrence Support all areas of risk management Communicate results internally and externally Qualifications 3-5 years capital markets experience; or a quantitative master's degree + 1-2 years' experience Proficiency in risk management tools and data analytics platforms Experience with Microsoft Excel and VBA Familiarity with SQL, Python or other programming languages is a plus Experience in finance and knowledge of investments Demonstrated ability to identify, analyze and recommend potential solutions to problems Takes initiative and is highly motivated Works effectively and productively in a team Able to multi-task and prioritize in a fast-paced environment Strong communication skills Bachelor's degree in finance, economics, business, or related field Demonstrated flexibility and willingness to work additional hours during critical periods or special situations to ensure timely and accurate completion of key deliverables Additional Information This position will work on a hybrid model out of our New York or Pittsburgh office We offer a comprehensive benefits package including a collaborative work environment, generous PTO, 401(k) match, affordable & comprehensive medical/dental/vision insurance, CFA and other professional membership reimbursement, and more. The pay range for this position is $60,000-$90,000. However, base pay will be determined on an individual basis considering various factors, including location, qualifications, skills, and experience. The total compensation package includes eligibility for an annual discretionary bonus and a full range of health and financial benefit offerings, which will be provided in conjunction with an offer of employment. Visit **************** for additional company information. Wilshire is an SEC registered investment adviser and required to track certain political contributions under Rule 206(4)-5. As such, you may be required to disclose your prior political contributions. We are an equal opportunity employer, which means we afford equal employment opportunity to all individuals regardless of race/ethnicity, creed, color, religion, sex (including gender and gender identity), national origin, ancestry, age, marital status, veteran status, citizenship status, disability, medical condition (as defined by California Government Code section 12926), or sexual orientation. Our employees, as well as applicants and others with whom we do business, will not be subjected to sexual, racial, religious, ethnic, or any other form of unlawful harassment. In addition, Wilshire adheres to the equal employment opportunity requirements of all states and localities in which it does business. We are completely committed to these principles not only because of the various laws which address these subjects, but because it is the right thing to do for our employees and clients to thrive. If you have a disability, and require reasonable accommodations in the application process, contact Human Resources at ApplicantAccessibility@wilshire.com or ************.

Founded in 2006, Futurewave Systems is a minority owned boutique, STAFFING & PROFESSIONAL SERVICES PROVIDER headquartered in Atlanta, GA. We are a GLOBAL NETWORK of proven industry professionals demonstrating the fastest fulfillment rate of high tech professionals for Fortune 500 Companies. Job Description The Data Integration (DI) Specialist's role is to model/map and execute all activities related to the integration of data across various sources into an organized and unified view. This individual is also responsible for the monitoring of data flow between databases, servers and Cloud services to identify and implement the most suitable DI architecture for the organization's needs. Proven communication skills, problem-solving skills, and knowledge of integration best practices are critical to successful performance in this role. This is a highly-technical position, within a high-paced environment. A person with high attention to detail and a logical mindset with strong motivation and passion for technology would be a great candidate Responsibilities Operational/Technical: Work with project managers and developers to ensure that data entry, retrieval, change and delete functions meet business requirements for project completion. Lead in company data integrations with various systems that are utilized. Identify data entry, retrieval, change, and delete issues, and work to ensure a high level of data availability. Coordinate and work with other technical staff to develop relational databases and secondary databases. Develop automated database applications, where necessary, using the applicable database packages. Identify inefficiencies in current databases and leverage solutions. Install and configure relevant components to ensure database access and overall database security. Diagnose and resolve database access and performance issues. Analyze user requirements and, based on findings, design functional specifications for client/server databases and database applications. Evaluate and select database components, including hardware, relational database management systems, ETL software, metadata management tools, and database design solutions. PERCENTAGES OF JOB RESPONSIBILTIES % OF JOB DESCRIPTION 75% Integrations between various data sources, mainly MS SQL 2008/2012. This includes writing queries, triggers, stored procedures, data quality, data validity, and ensuring database integrity. Highly technical. Highly logical. 20% Working with the Development team (Cold Fusion) in order to ensure that the coding is in line with the database structure and database attributes. 5% Determining data quality issues, troubleshooting data issues Qualifications Knowledge, Skills & Experience: Years of direct experience in enterprise-level data integrations Proven experience in overseeing the linking of cross-functional databases between disparate business units and systems. Strong experience writing SQL queries, stored procedures and triggers Strong experience with database platforms, including Microsoft SQL 2008/2012 Experience with database design applications, including Microsoft SQL 2008/2012. Maintain high standards of data quality through the introduction and enforcement of information handling processes and organization of the data integration processes. Hands on experience with business and technical requirements analysis, business process modeling/mapping and methodology development, and data mapping. Working technical knowledge of current database software, protocols, and standards. Strong understanding of database structures, theories, principles, and practices. Working technical experience with designing, building, installing, configuring and supporting database servers, including Microsoft SQL 2008/2012. Strong knowledge of system and software quality assurance best practices methodology. Hands-on database tuning and troubleshooting experience. Experience with data processing flowcharting techniques. Technical Project management experience. Working technical experience with developing, installing, configuring and supporting database environments. Knowledge of applicable data privacy practices and laws. Personal Attributes: Highly self-motivated and directed. Highly Logical. Keen attention to detail. Proven analytical and problem-solving abilities. Ability to effectively prioritize and execute tasks in a high-pressure environment. Good written and oral communication skills. Strong technical documentation skills. Good interpersonal skills. Ability to conduct research into database issues, standards, and products as required. Ability to present ideas in user-friendly language. Strong customer service orientation. Experience working in a team-oriented, collaborative environment. Formal Education & Certification: College diploma or university degree in the field of computer science and 5+ years equivalent work experience.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

Federated Hermes Summer Internship Program provides students the opportunity to gain "hands on" experience and develop professional skills as well as the ability to network with talented professionals and gain insight into career possibilities within the asset management industry. The program includes a variety of events to enhance your internship experience, provide information about the firm and foster collaboration. Major Duties: * Work in cooperation with Business Systems Analysts to provide analysis support for various business units throughout Federated Hermes. * Conduct business analysis and assist in the creation of requirements specifications, test cases/scripts and execute testing of applications. * Participate in a firm-wide intern "Hack-a-thon" Hours/Location: * 8:30 a.m. to 5:00 p.m. Monday - Friday during the summer or * Federated Hermes Tower - Pittsburgh, PA 15222 (hybrid work arrangement) Explanatory Comments: * Good analytical skills with an emphasis on attention to detail * Above average written and oral communication skills * Ability to work effectively in a team environment Position Specifications: * Currently pursuing a degree in Information Systems or comparable business/systems analysis-oriented program; or pursing a business degree with information systems related minor required * Information technology experience or relevant coursework in business systems analysis or information technology required * 3.2 or better QPA preferred * Coursework pertaining to: Software development life cycle, structured analysis and design; business systems analysis methodologies, including exposure to SQL, GUI design highly preferred * Course work and hands-on exposure to Oracle and / or SQL Server preferred

At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here. For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy. + NTT DATA Services currently seeks a Senior SAP BODS Data Migration Specialist - S/4HANA (RISE 2023) to support a full-scale SAP S/4HANA implementation for a manufacturing site transitioning from a legacy Navision ERP system. The position focuses on designing, developing, and executing high-quality data migration solutions using SAP BODS and S/4HANA Migration Cockpit (Staging Tables Framework). The specialist will lead ETL processes, ensure data integrity, and collaborate closely with business and IT teams throughout the migration lifecycle. + Design and implement end-to-end data migration solutions from Navision SQL Server databases to SAP S/4HANA Cloud (RISE 2023) using SAP BODS. + Develop, optimize, and maintain BODS jobs, workflows, and dataflows for extraction, transformation, and loading (ETL). + Work extensively with S/4HANA Data Migration Objects, including: + Business Partners (Customers/Vendors) + Materials, Products, Equipment + Bills of Materials (BOMs) + Hierarchies and Classifications + Finance master data (Cost Center, Profit Center, etc.) + All Transactional Data Objects + SAP S/4HANA Migration Framework + Utilize SAP Migration Cockpit and Staging Table framework for data loads, validation, and reconciliation. + Perform data profiling, cleansing, validation, and harmonization to ensure accuracy and completeness. + Collaboration, Mapping & Quality Assurance + Collaborate with business and IT stakeholders to define source-to-target mappings, transformation logic, and validation rules. + Participate in data migration strategy design, mock conversion cycles, unit testing, UAT, cutover, and go-live activities. + Troubleshoot data migration issues independently and coordinate resolutions across functional and technical teams. + Governance & Best Practices + Ensure compliance with organizational data governance, performance standards, and security best practices. + Maintain documentation for mappings, ETL design, migration processes, and defect resolution. + Required Skills & Experience (Each Must Be 5+ Years) Technical Expertise + 5+ years of SAP BODS experience including ETL design, advanced transformations, and performance tuning. + 5+ years of SAP S/4HANA data migration experience, preferably S/4HANA Cloud 2023 (RISE). + 5+ years of hands-on work with SAP Migration Cockpit, including staging table framework, migration object templates, and reconciliation processes. + 5+ years of experience with key S/4HANA migration objects, including Business Partners, Materials, BOMs, Hierarchies, Finance, and Transactional Data. + 5+ years of SQL development experience, especially with Navision / MS SQL Server environments. Functional & Analytical Skills + 5+ years of experience in data profiling, cleansing, harmonization, and validation of large datasets. + 5+ years of experience resolving complex data issues, including debugging BODS jobs, staging tables, and SAP target structures. Soft Skills + 5+ years of stakeholder management and communication experience, working with IT teams and business SMEs. + Proven ability to work independently with minimal supervision. + Strong analytical, problem-solving, and documentation skills. + Preferred Qualifications + Experience in manufacturing industry data structures. + Experience with multi-system migrations or large brownfield/greenfield implementations. + Knowledge of SAP MDG (optional). About NTT DATA Services: NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more. NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team. Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is **($43.12 to $57.75 on w2 )** . This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.

Primary Office Location: 626 Washington Place. Pittsburgh, Pennsylvania. 15219. Join our team. Make a difference - for us and for your future. Marketing Data Analyst Business Unit: Marketing Reports to: Director of Marketing Analytics This individual is primarily responsible for targeting and/or measurement of all marketing campaigns to drive new household acquisition and deepen existing household relationships. Primary roles and responsibilities include implementing advanced data mining and analytics methodologies to develop audience segmentation strategies and discover insights. The ideal candidate will have a strong background in SQL, data analysis, marketing performance metrics, and audience segmentation. Primary Responsibilities: Develop prospect and customer targeting criteria leveraging large amounts of data and advanced data mining skills to enhance personalization and elevate the quality of marketing campaigns. Responsible for maintaining a scalable, sustainable approach to sales lead generation for retail and wholesale lines of businesses. Analyze campaign performance data including household acquisition, retention, and cross sell metrics to provide actionable insights and recommendations for optimization. Implement A/B test and incrementality tests to evaluate the effectiveness of marketing campaigns and affect meaningful positive change with testing results. Build and manage dashboards and reporting tools to track KPIs, ROI, and attribution. Ensure data integrity and accuracy across all marketing platforms and analytics tools. Performs other related duties and projects as assigned. All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation's risk management program. F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions. Minimum Level of Education Required to Perform the Primary Responsibilities of this Position: BA or BS Minimum # of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position: 5 Skills Required to Perform the Primary Responsibilities of this Position: Excellent organizational, analytical and interpersonal skills Excellent communication skills, both written and verbal Excellent management skills Detail-oriented Ability to work and multi-task in a fast paced environment MS Excel - Expert Level MS PowerPoint - Expert Level Hands-on expertise with SQL, data analytics, data visualization tools, and SAS, R, or Python Licensures/Certifications Required to Perform the Primary Responsibilities of this Position: N/A Physical Requirements or Work Conditions Beyond Traditional Office Work: N/A Equal Employment Opportunity (EEO): It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.

Primary Office Location:626 Washington Place. Pittsburgh, Pennsylvania. 15219.Join our team. Make a difference - for us and for your future. Marketing Data Analyst Business Unit: Marketing Reports to: Director of Marketing Analytics Position Overview: This individual is primarily responsible for targeting and/or measurement of all marketing campaigns to drive new household acquisition and deepen existing household relationships. Primary roles and responsibilities include implementing advanced data mining and analytics methodologies to develop audience segmentation strategies and discover insights. The ideal candidate will have a strong background in SQL, data analysis, marketing performance metrics, and audience segmentation. Primary Responsibilities: Develop prospect and customer targeting criteria leveraging large amounts of data and advanced data mining skills to enhance personalization and elevate the quality of marketing campaigns. Responsible for maintaining a scalable, sustainable approach to sales lead generation for retail and wholesale lines of businesses. Analyze campaign performance data including household acquisition, retention, and cross sell metrics to provide actionable insights and recommendations for optimization. Implement A/B test and incrementality tests to evaluate the effectiveness of marketing campaigns and affect meaningful positive change with testing results. Build and manage dashboards and reporting tools to track KPIs, ROI, and attribution. Ensure data integrity and accuracy across all marketing platforms and analytics tools. Performs other related duties and projects as assigned. All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation's risk management program. F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions. Minimum Level of Education Required to Perform the Primary Responsibilities of this Position: BA or BS Minimum # of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position: 5 Skills Required to Perform the Primary Responsibilities of this Position: Excellent organizational, analytical and interpersonal skills Excellent communication skills, both written and verbal Excellent management skills Detail-oriented Ability to work and multi-task in a fast paced environment MS Excel - Expert Level MS PowerPoint - Expert Level Hands-on expertise with SQL, data analytics, data visualization tools, and SAS, R, or Python Licensures/Certifications Required to Perform the Primary Responsibilities of this Position: N/A Physical Requirements or Work Conditions Beyond Traditional Office Work: N/A Equal Employment Opportunity (EEO): It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.

Founded in 2006, Futurewave Systems is a minority owned boutique, STAFFING & PROFESSIONAL SERVICES PROVIDER headquartered in Atlanta, GA. We are a GLOBAL NETWORK of proven industry professionals demonstrating the fastest fulfillment rate of high tech professionals for Fortune 500 Companies. Job Description The Data Integration (DI) Specialist's role is to model/map and execute all activities related to the integration of data across various sources into an organized and unified view. This individual is also responsible for the monitoring of data flow between databases, servers and Cloud services to identify and implement the most suitable DI architecture for the organization's needs. Proven communication skills, problem-solving skills, and knowledge of integration best practices are critical to successful performance in this role. This is a highly-technical position, within a high-paced environment. A person with high attention to detail and a logical mindset with strong motivation and passion for technology would be a great candidate Responsibilities Operational/Technical: Work with project managers and developers to ensure that data entry, retrieval, change and delete functions meet business requirements for project completion. Lead in company data integrations with various systems that are utilized. Identify data entry, retrieval, change, and delete issues, and work to ensure a high level of data availability. Coordinate and work with other technical staff to develop relational databases and secondary databases. Develop automated database applications, where necessary, using the applicable database packages. Identify inefficiencies in current databases and leverage solutions. Install and configure relevant components to ensure database access and overall database security. Diagnose and resolve database access and performance issues. Analyze user requirements and, based on findings, design functional specifications for client/server databases and database applications. Evaluate and select database components, including hardware, relational database management systems, ETL software, metadata management tools, and database design solutions. PERCENTAGES OF JOB RESPONSIBILTIES % OF JOB DESCRIPTION 75% Integrations between various data sources, mainly MS SQL 2008/2012. This includes writing queries, triggers, stored procedures, data quality, data validity, and ensuring database integrity. Highly technical. Highly logical. 20% Working with the Development team (Cold Fusion) in order to ensure that the coding is in line with the database structure and database attributes. 5% Determining data quality issues, troubleshooting data issues Qualifications Knowledge, Skills & Experience: Years of direct experience in enterprise-level data integrations Proven experience in overseeing the linking of cross-functional databases between disparate business units and systems. Strong experience writing SQL queries, stored procedures and triggers Strong experience with database platforms, including Microsoft SQL 2008/2012 Experience with database design applications, including Microsoft SQL 2008/2012. Maintain high standards of data quality through the introduction and enforcement of information handling processes and organization of the data integration processes. Hands on experience with business and technical requirements analysis, business process modeling/mapping and methodology development, and data mapping. Working technical knowledge of current database software, protocols, and standards. Strong understanding of database structures, theories, principles, and practices. Working technical experience with designing, building, installing, configuring and supporting database servers, including Microsoft SQL 2008/2012. Strong knowledge of system and software quality assurance best practices methodology. Hands-on database tuning and troubleshooting experience. Experience with data processing flowcharting techniques. Technical Project management experience. Working technical experience with developing, installing, configuring and supporting database environments. Knowledge of applicable data privacy practices and laws. Personal Attributes: Highly self-motivated and directed. Highly Logical. Keen attention to detail. Proven analytical and problem-solving abilities. Ability to effectively prioritize and execute tasks in a high-pressure environment. Good written and oral communication skills. Strong technical documentation skills. Good interpersonal skills. Ability to conduct research into database issues, standards, and products as required. Ability to present ideas in user-friendly language. Strong customer service orientation. Experience working in a team-oriented, collaborative environment. Formal Education & Certification: College diploma or university degree in the field of computer science and 5+ years equivalent work experience.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: A Bachelor's degree in Finance, General Business, or Business Analytics Strong financial and analytical skills Proven ability to organize and interpret large amounts of data Meticulous, organized and proficient at managing multiple workstreams simultaneously Excellent written and verbal communication skills needed to interact with internal team members and external client personnel. Dedicated, result oriented and ability to learn quickly in a fast-paced, dynamic work environment under tight deadlines Highly proficient in Excel; SQL and Tableau experience preferred Proficiency in the English language, including the ability to listen, understand, read and communicate effectively both in writing and verbally in a professional environment.